CN107153772A - A kind of tele-medicine assistance platform - Google Patents
A kind of tele-medicine assistance platform Download PDFInfo
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- CN107153772A CN107153772A CN201710354324.9A CN201710354324A CN107153772A CN 107153772 A CN107153772 A CN 107153772A CN 201710354324 A CN201710354324 A CN 201710354324A CN 107153772 A CN107153772 A CN 107153772A
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Abstract
The invention provides a kind of tele-medicine assistance platform, including medical detection module, stored record module, video and audio module, emergency judge module and remote medical nursing terminal, the medical detection module is detected for every health indicator to user, obtains health indicator testing result；The stored record module is used for the health indicator testing result for storing user, and the health status to user carries out long-term tracking；The video and audio module is used for user and the medical personnel of the remote medical nursing terminal carry out video and audio dialogue, user is obtained the medical treatment guidance of specialty, while video and audio module is additionally operable to be monitored the unusual behavior of user.The present invention can make action inconvenient user complete to monitor the Basic Medical Therapeutic Data of oneself body, and long-term tracking is carried out, the specialized guidance of remote medical nursing personnel is obtained, the reliability that user diagnoses to oneself health is improved, the unusual behavior of user is monitored simultaneously, and emergency is found in time.
Description
Technical field
The present invention relates to remote control technology field, and in particular to a kind of tele-medicine assistance platform.
Background technology
With the implementation of family planning policy, the population ratio of Chinese Aged is constantly raised, usual a pair young men and wives
Need to look after 2-4 the elderly so that the pressure of young man constantly increases, usually the elderly is negligent of to look after, it is impossible to fine
The health status of the elderly is solved, for these problems, the medical platform of some long distance monitorings is also occurred in that in society.
In the prior art, the long distance monitoring medical platform for the elderly usually requires that user can be to long distance monitoring medical treatment
Platform carries out active operation to get help, but the elderly user due to fangle to receive the time long, longer
Medical platform can not be operated alone in a period of time, while when occurring emergency, user usually can not actively initiate
Relief, therefore existing long distance monitoring medical platform also has very big room for improvement.
The content of the invention
In view of the above-mentioned problems, a kind of the present invention is intended to provide tele-medicine assistance platform.
The purpose of the present invention is realized using following technical scheme：
A kind of tele-medicine assistance platform, including medical detection module, stored record module, video and audio module, urgent feelings
Condition judge module and remote medical nursing terminal, the medical detection module are used to detect every health indicator of user, obtained
To health indicator testing result；The stored record module is used to store the health indicator testing result of user, in order to
The health status at family carries out long-term tracking；The video and audio module is used for user and the medical personnel of the remote medical nursing terminal
Video and audio dialogue is carried out, user is obtained the medical treatment guidance of specialty, while video and audio module is additionally operable to the unusual behavior to user
It is monitored.
Beneficial effects of the present invention are：The present invention can make action inconvenient user complete the basic doctor to oneself body
Data monitoring is treated, and carries out long-term tracking, the specialized guidance of remote medical nursing personnel is obtained, user is improved to oneself health
The reliability of diagnosis, while monitoring the unusual behavior of user, finds emergency in time.
Brief description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings
Other accompanying drawings.
Fig. 1 is the frame construction drawing of the present invention；
Fig. 2 is the frame construction drawing of the medical detection module of the present invention；
Fig. 3 is the frame construction drawing of the video and audio module of the present invention.
Reference：
Medical detection module 1, stored record module 2, video and audio module 3, emergency judge module 4, remote medical nursing are whole
End 5, infrared body temperature detector 101, Wrist belt-type electronic sphygmomanometer 102, finger-clipped electronics blood oxygen and cardiotach ometer 103, electronics heart sound
And lungs sound detector 104, audio submodule 31, video submodule 32, initialization unit 321, background detection unit 322, image
Quick updating block 323 and person detecting unit 324.
Embodiment
With reference to following application scenarios, the invention will be further described.
Referring to Fig. 1, a kind of tele-medicine assistance platform of the present embodiment, including medical detection module 1, stored record module
2nd, video and audio module 3, emergency judge module 4 and remote medical nursing terminal 5, the medical detection module 1 are used for user's
Every health indicator is detected, obtains health indicator testing result；The stored record module 2 is used for the health for storing user
Indexs measure result, in order to carry out long-term tracking to the health status of user；The video and audio module 3 is used for user and institute
The medical personnel for stating remote medical nursing terminal carry out video and audio dialogue, user is obtained the medical treatment guidance of specialty, while video and audio mould
Block 3 is additionally operable to be monitored the unusual behavior of user.
Preferably, as shown in Fig. 2 the medical detection module 1 includes electronic infrared temperature monitor, Wrist belt-type electronics blood
Pressure meter, finger-clipped electronics blood oxygen and cardiotach ometer and electronics heart sound and lungs sound detector, body temperature, blood pressure, blood for gathering user
Oxygen, heart rate, heart sound and lungs sound information.
Preferably, as shown in figure 3, the video and audio module includes audio submodule and video submodule, audio
The audio session that module is used between user and remote medical nursing personnel, the video submodule is used for user and remote medical nursing personnel
Between video calling and to user behavior monitor, when the behavior to user is monitored, the video image of user is entered
Mobile state personage makes a distinction with static background.
The above embodiment of the present invention, can make action inconvenient user complete to supervise the Basic Medical Therapeutic Data of oneself body
Survey, and carry out long-term tracking, obtain the specialized guidance of remote medical nursing personnel, what raising user diagnosed to oneself health can
By property, while monitoring the unusual behavior of user, emergency is found in time.
Preferably, as shown in figure 3, the video and audio module includes initialization unit, background detection unit, image quickly more
New unit and person detecting unit；
The initialization unit carries out initial according to the data of user video image to each Gaussian Background model important parameter
Change, regard the average gray value and variance of each pixel position in D framed user's video images as each single Gaussian Background model
Initial mean value and initial variance, and set initial weight, be specially：
In formula,Represent Gaussian Background model, ε2(p, q) represents the gray value side at user video image position (p, q) place
Difference, S (p, q) is the gray value at user video image position (p, q) place, and β (p, q) represents user video image position (p, q) place
Gray value average；
In formula, βb,0(p, q) represents the gray value at user video image position (p, q) place in b-th of Gaussian Background model
Initial mean value,Represent the initial of the gray value at user video image position (p, q) place in b-th of Gaussian Background model
Variance,
S (p, q) is the gray value at user video image position (p, q) place, and D is initial window width (unit：Frame),
δb,0The initial weight of b-th of Gaussian Background model is represented, B is the number of Gaussian Background model；
Each grey scale pixel value of user video image and Gaussian Background model match sentencing by the background detection unit
It is disconnected, at the u moment, by the grey scale pixel value of position (p, q) place user video image and B Gaussian Background model one by one according to making by oneself
Adopted matching judgment formula judged, wherein the self-defined matching formula used for：
In formula, Su(p, q) is the gray value at u moment user video images position (p, q) place, βb,u-1(p, q) is the u-1 moment
The average of user video image position (p, q) place gray value, ε in b-th of Gaussian Background modelb,u-1(p, q) is u-1 moment b
The variance of user video image position (p, q) place gray value, the quantity of B Gaussian Background models, B in individual Gaussian Background model！Table
Show B factorial.
The above embodiment of the present invention, by self-defined matching judgment formula, by the picture at user video image position (p, q) place
Plain gray value is matched with Gaussian Background model, is conducive to carrying out detection identification to background static in video image, to quiet
State background is weakened, and highlights the character image of user, focuses more on the behavior of user so that emergency is occurring for user
When, remote medical nursing personnel can be known with the most fast time.
Preferably, power of the quick updating block of described image to b-th of Gaussian Background model of user video image u moment
Weight, average, variance are quickly updated, and are specially：
In formula, δb,u(p, q) represent b-th of Gaussian Background model of u moment weight, v be weight turnover rate, set v as
0.02, B is the number of Gaussian Background model, βb,u(p, q) is user video image position in b-th of Gaussian Background model of u moment
The average of (p, q) place gray value, βb,u-1(p, q) be b-th of Gaussian Background model of u-1 moment in user video image position (p,
Q) average of place's gray value, Su(p, q) is the gray value at u moment user video images position (p, q) place,When representing u
The variance of user video image position (p, q) place gray value in b-th of Gaussian Background model is carved,When representing u-1
The variance of user video image position (p, q) place gray value in b-th of Gaussian Background model is carved, ρ is equal for Gaussian Background model
The turnover rate of value and variance, sets ρ as 0.01.
The above embodiment of the present invention, is quickly updated to the parameter in user video image, in user video image
The pixel of change is quickly detected so that the very slow the elderly of action or action have the user of obstacle will not be by
System is determined as static background, is conducive to keeping track for the behavior to pokesy user, prevents it to be in an emergency
And cannot timely succour.
Preferably, the person detecting unit is used to determine the real static background at u moment and the dynamic image of user, tool
Body is：
(1) to all weight η for having completed parameter renewall,τ(m, n) is normalized, and then calculates normalization
β after processingb,u(p, q) withRatioAnd be ranked up according to order from big to small, R before choosing
Meet model and characterize background, wherein R values calculation formula is：
In formula,Function representation takes satisfactionWhen x minimum values,Judge threshold for weight
Value, r ∈ R；
(2) calculate user video image in pixel Stability index and filter out its maximum and minimum value, using most
Big Stability index value and minimum Stability index value computational stability metrics-thresholds, be specially：
In formula, C (p, q) represents the Stability index function at position (p, q) place, and E is the frame number slided backward, Su(p,q)
For the gray value at u moment user video images position (p, q) place；
In formula, C ' expression Stability index threshold values, CmaxFor maximum stable degree desired value, CminFor minimum Stability index
Value；
If there is Stability index C (p, q) ＞ C ' of the continuous W two field pictures in user video image u moment positions (p, q), then
The pixel for judging user video image u moment positions (p, q) is bust vegetarian refreshments, is otherwise static background；
The emergency judge module according to the dynamic change of personage's pixel of the person detecting unit come to
The action at family is judged, and when judged result is urgent, sends alarm to remote medical nursing terminal immediately, remote medical nursing personnel can
The situation that video understands user is opened, otherwise video and audio call is not opened actively in user and remote medical nursing terminal does not receive announcement
In the case of police, user's agreement is not obtained, remote medical nursing personnel can not actively check the video image of user.
The above embodiment of the present invention, by accurately distinguishing what is taken action in user video image to the calculating of Stability index
User and static background, advantageously reduce the pixel of user images by the probability of background model erroneous matching, while in user
During generation emergency, system can send alarm from trend remote medical nursing terminal, it is not necessary to which remote medical nursing personnel keep one's eyes open use
The action image at family, is that remote medical nursing personnel improve operating efficiency, the same time can be concerned about more users；Simultaneously
Authority is set for remote medical nursing personnel, the privacy of user is protected well.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than to present invention guarantor
The limitation of scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent substitution, without departing from the reality of technical solution of the present invention
Matter and scope.
Claims (6)
1. a kind of tele-medicine assistance platform, it is characterized in that, including medical detection module, stored record module, video and audio module,
Emergency judge module and remote medical nursing terminal, the medical detection module are used to examine every health indicator of user
Survey, obtain health indicator testing result；The stored record module is used for the health indicator testing result for storing user, to user
Health status carry out long-term tracking；The video and audio module is used for user and the medical personnel of the remote medical nursing terminal enter
Row video and audio is talked with, and user is obtained the medical treatment guidance of specialty, while video and audio module is additionally operable to enter the unusual behavior of user
Row monitoring.
2. a kind of tele-medicine assistance platform according to claim 1, it is characterized in that, the medical detection module includes electricity
Sub- infrared body temperature detector, Wrist belt-type electronic sphygmomanometer, finger-clipped electronics blood oxygen and cardiotach ometer and the detection of electronics heart sound and lungs sound
Instrument, body temperature, blood pressure, blood oxygen, heart rate, heart sound and lungs sound information for gathering user.
3. a kind of tele-medicine assistance platform according to claim 1, it is characterized in that, the video and audio module includes audio
Submodule and video submodule, the audio session that the audio submodule is used between user and remote medical nursing personnel are described to regard
Video calling and monitored to user behavior that frequency submodule is used between user and remote medical nursing personnel, in the behavior to user
When being monitored, Mobile state personage is entered to the video image of user and made a distinction with static background.
4. a kind of tele-medicine assistance platform according to claim 3, it is characterized in that, the video and audio module includes initial
Change unit, background detection unit, the quick updating block of image and person detecting unit；
The initialization unit is initialized according to the data of user video image to each Gaussian Background model important parameter, will
The average gray value and variance of each pixel position are used as the initial equal of each single Gaussian Background model in user video image
Value and initial variance, and initial weight is set, wherein Gaussian Background model is：
In formula,Represent Gaussian Background model, ε2(p, q) represents the gray value variance at user video image position (p, q) place, S
(p, q) is the gray value at user video image position (p, q) place, and β (p, q) represents the ash at user video image position (p, q) place
Angle value average；
Each grey scale pixel value of user video image and Gaussian Background model are carried out matching judgment by the background detection unit,
The u moment, by the grey scale pixel value of position (p, q) place user video image and B Gaussian Background model one by one according to self-defined
Judged with judgment formula, wherein the self-defined matching formula used for：
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Variance, the quantity of B Gaussian Background models, B！Represent B factorial, Su(p, q) is u moment user video images position (p, q) place
Gray value, βb,u-1(p, q) is user video image position (p, q) place gray value in b-th of Gaussian Background model of u-1 moment
Average.
5. a kind of tele-medicine assistance platform according to claim 4, it is characterized in that, the quick updating block pair of described image
User video image u the moment weight, average, variance of b-th of Gaussian Background model are quickly updated, and are specially：
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Initial weight, υ is weight turnover rate, and υ ∈ [0,1], B is the number of Gaussian Background model, βb,u(p, q) is that the u moment is high b-th
The average of user video image position (p, q) place gray value, β in this background modelb,u-1(p, q) is b-th of Gauss back of the body of u-1 moment
The average of user video image position (p, q) place gray value, S in scape modelu(p, q) be u moment user video images position (p,
Q) gray value at place,Represent user video image position (p, q) place gray scale in b-th of Gaussian Background model of u moment
The variance of value,Represent user video image position (p, q) place gray scale in b-th of Gaussian Background model of u-1 moment
The variance of value, ρ is the average of Gaussian Background model and the turnover rate of variance.
6. a kind of tele-medicine assistance platform according to claim 5, it is characterized in that, the person detecting unit is used for true
Determine the real static background at u moment and the dynamic image of user, be specially：
(1) to all weight η for having completed parameter renewall,τ(m, n) is normalized, and then calculates normalized
β afterwardsb,u(p, q) withRatioAnd be ranked up according to order from big to small, R satisfaction before choosing
Model characterizes background, and wherein R values calculation formula is：
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(2) calculate in user video image the Stability index of pixel and filter out its maximum and minimum value, using maximum steady
Surely desired value and minimum Stability index value computational stability metrics-thresholds are spent, is specially：
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<mi>i</mi>
<mi>n</mi>
</mrow>
</msub>
<mo>+</mo>
<mfrac>
<mrow>
<msub>
<mi>C</mi>
<mrow>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>C</mi>
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
</msub>
</mrow>
<mn>0.7</mn>
</mfrac>
</mrow>
In formula, C ' expression Stability index threshold values, CmaxFor maximum stable degree desired value, CminFor minimum Stability index value；
If there is Stability index C (p, q) ＞ C ' of the continuous W two field pictures in user video image τ moment positions (p, q), then judge
The pixel of user video image u moment positions (p, q) is bust vegetarian refreshments, is otherwise static background；
The emergency judge module is according to the dynamic change of personage's pixel of the person detecting unit come to user's
Action is judged, and when judged result is urgent, sends alarm to remote medical nursing terminal immediately.
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